1.Scaffold and SAR studies on c-MET inhibitors using machine learning approaches
Jing ZHANG ; Mingming ZHANG ; Weiran HUANG ; Changjie LIANG ; Wei XU ; Jing ZHANGHUA ; Jun TU ; Okohi-Agida INNOCENT ; Jinke CHENG ; Dong-Qing WEI ; Buyong MA ; Yanjing WANG ; Hongsheng TAN
Journal of Pharmaceutical Analysis 2025;15(6):1321-1333
Numerous c-mesenchymal-epithelial transition(c-MET)inhibitors have been reported as potential anticancer agents.However,most fail to enter clinical trials owing to poor efficacy or drug resistance.To date,the scaffold-based chemical space of small-molecule c-MET inhibitors has not been analyzed.In this study,we constructed the largest c-MET dataset,which included 2,278 molecules with different struc-tures,by inhibiting the half maximal inhibitory concentration(IC50)of kinase activity.No significant differences in drug-like properties were observed between active molecules(1,228)and inactive mol-ecules(1,050),including chemical space coverage,physicochemical properties,and absorption,distri-bution,metabolism,excretion,and toxicity(ADMET)profiles.The higher chemical diversity of the active molecules was downscaled using t-distributed stochastic neighbor embedding(t-SNE)high-dimensional data.Further clustering and chemical space networks(CSNs)analyses revealed commonly used scaffolds for c-MET inhibitors,such as M5,M7,and M8.Activity cliffs and structural alerts were used to reveal"dead ends"and"safe bets"for c-MET,as well as dominant structural fragments consisting of pyr-idazinones,triazoles,and pyrazines.Finally,the decision tree model precisely indicated the key structural features required to constitute active c-MET inhibitor molecules,including at least three aromatic het-erocycles,five aromatic nitrogen atoms,and eight nitrogen-oxygen atoms.Overall,our analyses revealed potential structure-activity relationship(SAR)patterns for c-MET inhibitors,which can inform the screening of new compounds and guide future optimization efforts.
2.Scaffold and SAR studies on c-MET inhibitors using machine learning approaches.
Jing ZHANG ; Mingming ZHANG ; Weiran HUANG ; Changjie LIANG ; Wei XU ; Jinghua ZHANG ; Jun TU ; Innocent Okohi AGIDA ; Jinke CHENG ; Dong-Qing WEI ; Buyong MA ; Yanjing WANG ; Hongsheng TAN
Journal of Pharmaceutical Analysis 2025;15(6):101303-101303
Numerous c-mesenchymal-epithelial transition (c-MET) inhibitors have been reported as potential anticancer agents. However, most fail to enter clinical trials owing to poor efficacy or drug resistance. To date, the scaffold-based chemical space of small-molecule c-MET inhibitors has not been analyzed. In this study, we constructed the largest c-MET dataset, which included 2,278 molecules with different structures, by inhibiting the half maximal inhibitory concentration (IC50) of kinase activity. No significant differences in drug-like properties were observed between active molecules (1,228) and inactive molecules (1,050), including chemical space coverage, physicochemical properties, and absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiles. The higher chemical diversity of the active molecules was downscaled using t-distributed stochastic neighbor embedding (t-SNE) high-dimensional data. Further clustering and chemical space networks (CSNs) analyses revealed commonly used scaffolds for c-MET inhibitors, such as M5, M7, and M8. Activity cliffs and structural alerts were used to reveal "dead ends" and "safe bets" for c-MET, as well as dominant structural fragments consisting of pyridazinones, triazoles, and pyrazines. Finally, the decision tree model precisely indicated the key structural features required to constitute active c-MET inhibitor molecules, including at least three aromatic heterocycles, five aromatic nitrogen atoms, and eight nitrogen-oxygen atoms. Overall, our analyses revealed potential structure-activity relationship (SAR) patterns for c-MET inhibitors, which can inform the screening of new compounds and guide future optimization efforts.
3.Construction and evaluation of a training program for health management specialist nurses
Xiaotao XU ; Hua GUAN ; Li XIAO ; Lili TU ; Xiaojuan YANG ; Qing WEN ; Xiaoqian LI
Chinese Journal of Health Management 2025;19(2):119-126
Objective:To construct and evaluate a training program for health management specialist nurses.Methods:Mainly qualitative analysis, The training system of health management specialist nurses was preliminarily drawn up based on literature review and semi-structured interview. The Delphi expert consultation method was used to conduct a two-round expert letter inquiry with 17 experts in the professions such as health management medicine, health management nursing, nursing management, and nursing education; and the analytic hierarchy process was applied to determine the weights of the indicators.Results:The effective recall rates of the questionnaires for the 2 rounds of expert consultation was 94.44%(17/18) and 100%(17/17), with expert authority coefficients of 0.90 and 0.92 and Kendall harmony coefficients of 0.207 and 0.249, respectively (all P<0.001). The training system of health management specialist nurses included 4 parts: training objective, training content, training management, training assessment and evaluation. There were 8 indicators in the training objective part. There were 5 first-level indicators, 15 second-level and 67 third-level indicators in the training content part. There were 5 first-level indicators, 12 second-level indicators in the training management part. There were 3 first-level indicators, 10 second-level indicators in the training assessment and evaluation part. Conclusion:The training program for specialized nurses in health management developed in this study demonstrates high levels of expert enthusiasm, authority, and consensus, indicating its feasibility.
4.Five-year outcomes of metabolic surgery in Chinese subjects with type 2 diabetes.
Yuqian BAO ; Hui LIANG ; Pin ZHANG ; Cunchuan WANG ; Tao JIANG ; Nengwei ZHANG ; Jiangfan ZHU ; Haoyong YU ; Junfeng HAN ; Yinfang TU ; Shibo LIN ; Hongwei ZHANG ; Wah YANG ; Jingge YANG ; Shu CHEN ; Qing FAN ; Yingzhang MA ; Chiye MA ; Jason R WAGGONER ; Allison L TOKARSKI ; Linda LIN ; Natalie C EDWARDS ; Tengfei YANG ; Rongrong ZHANG ; Weiping JIA
Chinese Medical Journal 2025;138(4):493-495
5.Association of NLRP3 genetic variant rs10754555 with early-onset coronary artery disease.
Lingfeng ZHA ; Chengqi XU ; Mengqi WANG ; Shaofang NIE ; Miao YU ; Jiangtao DONG ; Qianwen CHEN ; Tian XIE ; Meilin LIU ; Fen YANG ; Zhengfeng ZHU ; Xin TU ; Qing K WANG ; Zhilei SHAN ; Xiang CHENG
Chinese Medical Journal 2025;138(21):2844-2846
6.Establishment of quantitative models for effective components in Yishen Xiezhuo Mixture
Zi-fang FENG ; Min-min HU ; Xiao-wei CHEN ; Wen-ming ZHANG ; Li-hong GU ; Ping QIN ; Yi PENG ; Zhen-hua BIAN ; Qing-you YANG ; Tu-lin LU
Chinese Traditional Patent Medicine 2025;47(10):3177-3184
AIM To establish the quantitative models for gallic acid,mononucleoside,loganin,resveratrol,and rhein in Yishen Xiezhuo Mixture.METHODS HPLC was adopted in the content determination of various effective components,after which the near-infrared spectroscopy(NIRS)data were collected in 128 batches of samples and pretreatment was conducted,competitive adaptive reweighting sampling(CARS)algorithm was used for screening wavelength,partial least square method(PLS)regression analysis was performed.RESULTS There were no significant differences between the predicted values obtained by PLS models and measured values obtained by HPLC for various effective components(P>0.05).CONCLUSION The quantitative models established by NIRS combined with chemometrics display good predictive performance,which can be used for the rapid determination of effective components in Yishen Xiezhuo Mixture,and provide a reference for the rapid monitoring of other traditional Chinese medicine preparations in production processes.
7.Establishment and evaluation of renal fibrosis model induced by different doses of adenine in mice
Jiani TU ; Qing LI ; Gang CAO ; Qiao YANG
Acta Laboratorium Animalis Scientia Sinica 2025;33(10):1431-1438
Objective To compare the effects of different doses of adenine(ADE)by oral gavage in a mouse model of renal fibrosis(RF),and to provide a more suitable mouse model for further RF research.Methods Thirty C57BL/6J Nifdc mice were divided randomly into a control group,low-dose ADE group(ADE-L group,50 mg/kg),and high-dose ADE group(ADE-H group,100 mg/kg),and the general condition,mortality,and body mass changes of the mice were observed.Serum creatinine(CREA),blood urea nitrogen(BUN),and uric acid(UA)were measured on day 30 to evaluate renal function.Histopathological changes in kidney tissues were observed by hematoxylin-eosin(HE)and Masson staining,and expression levels of fibronectin(FN),collagen Ⅰ(COL Ⅰ),and alpha smooth muscle actin(α-SMA)in kidney tissues were detected by Western Blot.Results The cumulative mortality rates in the ADE-L and ADE-H groups were 91.7%and 58.3%,respectively.The body mass of mice in the ADE-L group was similar to that in the control group(P>0.05),but the body mass of mice in the ADE-H group was significantly lower than that of mice in the control and ADE-L groups from day 3 to day 30(P<0.001).Day 30 CREA and BUN levels in the ADE-L group were similar to those in the blank group,but CREA and BUN levels were significantly increased in the ADE-H group(P<0.001).There were no significant differences in UA levels among all groups.Inflammatory infiltration and tubular dilatation were observed in the ADE-L group on day 30,accompanied by tubular epithelial necrosis,while crystal accumulation in the tubular lumen and interstitium was observed in the ADE-H group,and the degree of interstitial fibrosis was significantly higher than in the control group(P<0.01).Expression levels of interstitial fibrosis-related proteins in the ADE-H group on day 30 were significantly higher than in the control and ADE-L groups(P<0.05,P<0.01 or P<0.001).Conclusions Both 50 and 100 mg/kg of ADE can be used to establish a mouse model of RF,with different doses leading to varying degrees of renal injury.Mice in the ADE-L group developed mild interstitial fibrosis on day 30,while mice in the ADE-H group developed moderate to severe interstitial fibrosis.
8.Research progress on animal models of imiquimod-induced psoriasis
Qing LI ; Jiani TU ; Jia HU ; Yufei FAN ; Jiaming WANG ; Qiao YANG
Acta Laboratorium Animalis Scientia Sinica 2025;33(8):1222-1234
Psoriasis is a chronic inflammatory skin disease with worldwide prevalence,primarily characterized by epidermal hyperplasia,abnormal keratinization,and immune cell infiltration,with a significant negative impact on patients' quality of life and mental well-being.The onset of psoriasis is closely associated with genetic susceptibility,immune dysregulation,and environmental factors.Despite research progress into the pathogenesis of psoriasis,existing treatment method still face problems including limited efficacy and obvious side effects.There is thus an urgent need for an in-depth analysis of its pathological network and the development of novel interventional strategies.The imiquimod-induced psoriasis animal model has accordingly become a crucial tool for studying psoriasis owing to its high reproducibility and excellent pathological simulation.This review systematically summarizes the core mechanism of action of the imiquimod-induced psoriasis model,expounds on the molecular basis of its action via pathways such as the cascade reaction of the core immune-inflammatory axis,the multi-regulatory network of downstream synergistic mechanisms,and the interaction between host and environmental factors.Research based on this model has successfully verified the therapeutic effects of various targeted therapies and natural products on psoriasis,demonstrating its important application value in therapeutic interventional research.We also discuss the limitations of the imiquimod-induced psoriasis model,and indicate future research directions,with the aim of providing references for further in-depth research and the treatment of psoriasis.
9.Establishment of quantitative models for effective components in Yishen Xiezhuo Mixture
Zi-fang FENG ; Min-min HU ; Xiao-wei CHEN ; Wen-ming ZHANG ; Li-hong GU ; Ping QIN ; Yi PENG ; Zhen-hua BIAN ; Qing-you YANG ; Tu-lin LU
Chinese Traditional Patent Medicine 2025;47(10):3177-3184
AIM To establish the quantitative models for gallic acid,mononucleoside,loganin,resveratrol,and rhein in Yishen Xiezhuo Mixture.METHODS HPLC was adopted in the content determination of various effective components,after which the near-infrared spectroscopy(NIRS)data were collected in 128 batches of samples and pretreatment was conducted,competitive adaptive reweighting sampling(CARS)algorithm was used for screening wavelength,partial least square method(PLS)regression analysis was performed.RESULTS There were no significant differences between the predicted values obtained by PLS models and measured values obtained by HPLC for various effective components(P>0.05).CONCLUSION The quantitative models established by NIRS combined with chemometrics display good predictive performance,which can be used for the rapid determination of effective components in Yishen Xiezhuo Mixture,and provide a reference for the rapid monitoring of other traditional Chinese medicine preparations in production processes.
10.Establishment and evaluation of renal fibrosis model induced by different doses of adenine in mice
Jiani TU ; Qing LI ; Gang CAO ; Qiao YANG
Acta Laboratorium Animalis Scientia Sinica 2025;33(10):1431-1438
Objective To compare the effects of different doses of adenine(ADE)by oral gavage in a mouse model of renal fibrosis(RF),and to provide a more suitable mouse model for further RF research.Methods Thirty C57BL/6J Nifdc mice were divided randomly into a control group,low-dose ADE group(ADE-L group,50 mg/kg),and high-dose ADE group(ADE-H group,100 mg/kg),and the general condition,mortality,and body mass changes of the mice were observed.Serum creatinine(CREA),blood urea nitrogen(BUN),and uric acid(UA)were measured on day 30 to evaluate renal function.Histopathological changes in kidney tissues were observed by hematoxylin-eosin(HE)and Masson staining,and expression levels of fibronectin(FN),collagen Ⅰ(COL Ⅰ),and alpha smooth muscle actin(α-SMA)in kidney tissues were detected by Western Blot.Results The cumulative mortality rates in the ADE-L and ADE-H groups were 91.7%and 58.3%,respectively.The body mass of mice in the ADE-L group was similar to that in the control group(P>0.05),but the body mass of mice in the ADE-H group was significantly lower than that of mice in the control and ADE-L groups from day 3 to day 30(P<0.001).Day 30 CREA and BUN levels in the ADE-L group were similar to those in the blank group,but CREA and BUN levels were significantly increased in the ADE-H group(P<0.001).There were no significant differences in UA levels among all groups.Inflammatory infiltration and tubular dilatation were observed in the ADE-L group on day 30,accompanied by tubular epithelial necrosis,while crystal accumulation in the tubular lumen and interstitium was observed in the ADE-H group,and the degree of interstitial fibrosis was significantly higher than in the control group(P<0.01).Expression levels of interstitial fibrosis-related proteins in the ADE-H group on day 30 were significantly higher than in the control and ADE-L groups(P<0.05,P<0.01 or P<0.001).Conclusions Both 50 and 100 mg/kg of ADE can be used to establish a mouse model of RF,with different doses leading to varying degrees of renal injury.Mice in the ADE-L group developed mild interstitial fibrosis on day 30,while mice in the ADE-H group developed moderate to severe interstitial fibrosis.

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